Course Content:
UNIT I
Introduction to Artificial Intelligence (AI): Definition and Scope of AI; History and Evolution of AI; AI
Applications: Natural Language Processing, Robotics, Expert Systems, and Vision Systems; Search Strategies:
Uninformed Search (BFS, DFS), Informed Search (Greedy, A*), and Heuristics; Problem-Solving Techniques:
Constraint Satisfaction Problems, Game Playing, and Adversarial Search.
UNIT II
Machine Learning Fundamentals: Introduction to Machine Learning (ML): Types of Learning – Supervised,
Unsupervised, and Reinforcement Learning; Linear Regression, Logistic Regression, and Decision Trees; ModelPage | 7EC (1273) - 17.01.2025Evaluation Metrics: Confusion Matrix, Precision, Recall, F1 Score, and ROC-AUC; Overfitting and Underfitting;
Regularization Techniques: Lasso and Ridge Regression.
UNIT III
Deep Learning and Neural Networks: Introduction to Neural Networks; Perceptrons and Multilayer Perceptrons
(MLP); Backpropagation and Gradient Descent Optimization; Convolutional Neural Networks (CNN): Architecture
and Applications in Image Processing; Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM):
Applications in Sequential Data and Text Processing.
UNIT IV
Advanced Topics and AI Applications: Reinforcement Learning: Markov Decision Processes, Q-Learning, and
Policy Gradients; Natural Language Processing (NLP): Tokenization, Stemming, Lemmatization, and Text
Classification; Generative Models: Autoencoders and Generative Adversarial Networks (GANs); Ethical
Implications of AI: Bias, Fairness, and Accountability; Case Studies: AI in Healthcare, Autonomous Vehicles, and
Financial Systems.
Textbooks:
1. “Artificial Intelligence: A Modern Approach” by Stuart Russell and Peter Norvig (3rd Edition)
2. “Pattern Recognition and Machine Learning” by Christopher Bishop
3. “Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
4. “Machine Learning: A Probabilistic Perspective” by Kevin P. Murphy
Credits: 3:1
Class timings:
CSE-A: Mon(11:00-01:00)-216, Wednesday(01:00-02:00)-203
CSE-B: Tue(11:00-01:00)-R2, Thur(11:00-12:00 pm)-R2